Shared and traded control for human-automation interaction: a haptic steering controller and a visual interface

Marcano, Mauricio; Castellano, Andrea; Díaz, Sergio; Pérez, Joshue; Tango, Fabio; Landini, Elisa; Burgio, Paolo

doi:10.1007/s42454-021-00030-6

Cited by 9 publications

(3 citation statements)

References 18 publications

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“…The evolution of safety systems in vehicles especially due to the availability of advanced sensing and interpretation capabilities has made driving into a human-machine shared control paradigm, where the vehicle actively aids the driver in keeping its occupants safe Marcano et al [2021], Karush [2017a]. Many safety systems such as the one discussed in this work; lateral assistance, rely on communicating via intermittent nudges in the steering wheel, in addition to sound instead of continuous feedback.…”

Section: Related Workmentioning

confidence: 99%

“…Merits of visual feedback in the form of HUD have been long studied in varying driving contexts over the years Campbell et al [2018], Gabbard et al [2014], Marcano et al [2021]. There are many considerable advantages to utilizing the HUD as part of the Advanced Driver Assistance System (ADAS) -information provided through the HUD with well-intentioned design and placement enables drivers to receive feedback without taking their eyes off the road Park and Kim [2013], Maroto et al [2018], Liu and Wen [2004].…”

Section: Introductionmentioning

confidence: 99%

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Continuous Visual Feedback of Risk for Haptic Lateral Assistance

Sharma¹,

Yasuda²,

Manuel³

2023

Preprint

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Lateral assistance systems are a significant part of the currently existing Advanced Driving Assistance System (ADAS). In most cases, such systems provide intermittent audio and haptic feedback rather than continuous feedback, making it difficult for drivers to form a clear mental model. In this paper, we propose continuous visual feedback for the lateral assistance system by leveraging the Head-Up Display (HUD) alongside haptic feedback through the steering wheel. The HUD provides visualization of the risk profile underlying the haptic feedback. We hypothesize that our proposed visualization helps form a clear mental model and improves the system's acceptance. We conduct a user study on a simulated version of a car driving on a two-lane freeway and compare the haptic lateral assistance system with and without the visualization on the HUD. While both conditions received high acceptance scores, there was no significant gain or deterioration in acceptance between them. We discuss potential improvements in the visualization based on anticipation performance and qualitative feedback from users.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Continuous Visual Feedback of Risk for Haptic Lateral Assistance

Sharma¹,

Yasuda²,

Manuel³

2023

Preprint

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“…The HMI design, instead of focusing on critical situations only, also concentrates on more common circumstances of cooperation, to evaluate the ease of understanding and the level of trust in the system. More detailed descriptions and results are reported in [41,42].…”

Section: Visual Hmimentioning

confidence: 99%

From the Concept of Being “the Boss” to the Idea of Being “a Team”: The Adaptive Co-Pilot as the Enabler for a New Cooperative Framework

et al. 2021

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The “classical” SAE LoA for automated driving can present several drawbacks, and the SAE-L2 and SAE-L3, in particular, can lead to the so-called “irony of automation”, where the driver is substituted by the artificial system, but is still regarded as a “supervisor” or as a “fallback mechanism”. To overcome this problem, while taking advantage of the latest technology, we regard both human and machine as members of a unique team that share the driving task. Depending on the available resources (in terms of driver’s status, system state, and environment conditions) and considering that they are very dynamic, an adaptive assignment of authority for each member of the team is needed. This is achieved by designing a technology enabler, constituted by the intelligent and adaptive co-pilot. It comprises (1) a lateral shared controller based on NMPC, which applies the authority, (2) an arbitration module based on FIS, which calculates the authority, and (3) a visual HMI, as an enabler of trust in automation decisions and actions. The benefits of such a system are shown in this paper through a comparison of the shared control driving mode, with manual driving (as a baseline) and lane-keeping and lane-centering (as two commercial ADAS). Tests are performed in a use case where support for a distracted driver is given. Quantitative and qualitative results confirm the hypothesis that shared control offers the best balance between performance, safety, and comfort during the driving task.

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How long the effect of take-over conditions Lasts? a survival analysis of Commercial Motor vehicle drivers’ reaction time and driving behavior in Level 4 of automated vehicles

Riahi Samani,

Mishra

2024

Transportation Research Part F: Traffic Psychology and Behaviou

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Shared and traded control for human-automation interaction: a haptic steering controller and a visual interface

Cited by 9 publications

References 18 publications

Continuous Visual Feedback of Risk for Haptic Lateral Assistance

Continuous Visual Feedback of Risk for Haptic Lateral Assistance

From the Concept of Being “the Boss” to the Idea of Being “a Team”: The Adaptive Co-Pilot as the Enabler for a New Cooperative Framework

How long the effect of take-over conditions Lasts? a survival analysis of Commercial Motor vehicle drivers’ reaction time and driving behavior in Level 4 of automated vehicles

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